Combining Electronic Medical Records with OMICS and Outcomes

       

                                               Project Founder: Dr. Mimi Choon-Quinones                Project Leader: Luis Magalhaes 

 

 

 

  • PROBLEM STATEMENT
    • Because biomedical big data analytics is in its infancy, more biomedical data scientists and engineers are needed to gain necessary biomedical knowledge, to use large data provided by biomedical big data initiatives.
  • AIM
    • To demonstrate how big data analytics enables precision medicine, including identifying disease biomarkers from multi-OMIC data and incorporating -OMIC information into EHR.
  • OBJECTIVE
    • Close the gap on how Big data analytics is able to address –OMIC and EHR data challenges for paradigm shift towards precision medicine.
  • SOLUTION
    • To accelerate the delivery of precision medicine, more research is needed in biomedical big data.

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